Yu-Cai Wang

According to our database1, Yu-Cai Wang authored at least 13 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

2025
Dynamic time-varying transfer function for cancer gene expression data feature selection problem.
J. Big Data, December, 2025

PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data.
J. Big Data, December, 2025

Ensemble filter RL feature selection method based on MW-shaped transfer function for high-dimensional cancer gene expression data.
Clust. Comput., October, 2025

Multi-strategy fusion pelican optimization algorithm and logic operation ensemble of transfer functions for high-dimensional feature selection problems.
Int. J. Mach. Learn. Cybern., August, 2025

Serial filter-wrapper feature selection method with elite guided mutation strategy on cancer gene expression data.
Artif. Intell. Rev., April, 2025

Multi-strategy fusion novel binary equalization optimizer with dynamic transfer function for high-dimensional feature selection.
J. Supercomput., March, 2025

Wind farm layout optimization based on Harris hawk optimization algorithm with variable weight coefficients and Jansen wake model.
Soft Comput., March, 2025

Stochastic fractal equilibrium optimizer with X-shaped dynamic transfer function for solving large-scale feature selection problems.
Knowl. Based Syst., 2025

2024
GOG-MBSHO: multi-strategy fusion binary sea-horse optimizer with Gaussian transfer function for feature selection of cancer gene expression data.
Artif. Intell. Rev., December, 2024

Multi-objective coyote optimization algorithm based on hybrid elite framework and Meta-Lamarckian learning strategy for optimal power flow problem.
Artif. Intell. Rev., May, 2024

Improved honey badger algorithm based on elementary function density factors and mathematical spirals in polar coordinate systema.
Artif. Intell. Rev., March, 2024

2023
Multi-objective optimization algorithm based on clustering guided binary equilibrium optimizer and NSGA-III to solve high-dimensional feature selection problem.
Inf. Sci., November, 2023

Improved pelican optimization algorithm with chaotic interference factor and elementary mathematical function.
Soft Comput., August, 2023


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